Jonathan Hurst

3.6k citations
78 papers · 2.5k · h-index 27

Impact in

    • Robotic Locomotion and Control
    • Prosthetics and Rehabilitation Robotics
    • Muscle activation and electromyography studies
    • Soft Robotics and Applications
    • Robot Manipulation and Learning
    • Robotic Mechanisms and Dynamics

Papers in

Jonathan Hurst

77 papers receiving 2.4k citations

Peers

Jonathan Hurst
Comparison fields: 5 of 132
  • Biomedical Engineering 2.0k
  • Control and Systems Engineering 666
  • Genetics 197
  • Aerospace Engineering 287
  • Physical Therapy, Sports Therapy and Rehabilitation 35
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Hurst

Since Specialization
Citations

This map shows the geographic impact of Jonathan Hurst's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan Hurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Hurst more than expected).

Fields of papers citing papers by Jonathan Hurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Hurst. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan Hurst. The network helps show where Jonathan Hurst may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Hurst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Hurst Line = papers co-authored together Jonathan Hurst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004174
2 2010158
3 2016156
4 2013132
5 2018122
6 2009118
7 2008116
8 201484
9 201879
10 199576
11 201267
12 201861
13 200760
14 201554
15 195548
16
Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real
201947
17
The Role and Implementation of Compliance in Legged Locomotion
200846
18 201546
19 201145
20 201445

About Jonathan Hurst

Jonathan Hurst is a scholar working on Biomedical Engineering, Control and Systems Engineering, Aerospace Engineering, Civil and Structural Engineering and Artificial Intelligence, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (52 papers), Prosthetics and Rehabilitation Robotics (33 papers), Biomimetic flight and propulsion mechanisms (15 papers), Robot Manipulation and Learning (12 papers), Soil Mechanics and Vehicle Dynamics (9 papers), Reinforcement Learning in Robotics (8 papers), Muscle activation and electromyography studies (5 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Control and Systems Engineering (666 citations), Genetics (197 citations), Aerospace Engineering (287 citations) and Physical Therapy, Sports Therapy and Rehabilitation (35 citations). Jonathan Hurst has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alfred A. Rizzi, Joel Chestnutt, Christian Hubicki, Mikhail Jones, A.A. Rizzi, Patrick Clary, Andy Abate, Siavash Rezazadeh, Daniel Renjewski and Kevin Green. Their work appears in journals such as Canadian Journal of Ophthalmology, The American Journal of Cardiology, IEEE Robotics & Automation Magazine, IEEE Transactions on Robotics and The International Journal of Robotics Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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